AIRLINE & LOYALTY

Airline Loyalty Program Engagement Survey

Frequent flyers evaluate, compare, and choose loyalty programs based on redemption value, tier benefits, and partner network reach, so you can sharpen acquisition targeting, fix retention drop-off, and benchmark your program positioning against competitors.

Multi-Market Sample
Frequent Flyers (Active Loyalty Members)
15-20 min
Talk to a Survey Consultant
Redemption friction & drop-offsIdentify where loyalty members disengage, defer redemption, or switch programs entirely.
Tier drivers & program trade-offsMap the benefit thresholds, partner gaps, and status triggers that determine member retention.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most frequent flyers don't defect from a loyalty program purely on points value. They defect due to redemption friction, tier status confusion, partner earn gaps, communication irrelevance, and poor elite recognition, none of which fully show up in enrollment dashboards or miles-issued reports.

If you are...

  • Loyalty program head, full-service carrier
  • Low-cost carrier adding tier structure
  • Ancillary revenue or co-brand lead
  • Alliance or partner network manager
  • Commercial planning or revenue strategy lead

You're likely facing...

  • Earn-burn gap: partners vs. base flights
  • Elite tier churn at renewal window
  • Points = low-value perception
  • Redemption drop-off: seat availability stage
  • Co-brand card switching at contract reset

This will help answer...

  • Engagement drivers beyond miles earned
  • Redemption drop-off stage and trigger
  • Segment preference: status vs. cashback
  • Tier valuation vs. competitor benchmark
  • Renewal risk and switching intent signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete frequent flyer journey from enrolment to elite tier advocacy.

TENETS 01

Enrolment & Discovery

  • Programme awareness at booking stage
  • Enrolment trigger, channel, and context
TENETS 02

Earn Mechanics

  • Miles accrual rate by fare class
  • Partner earn breadth and visibility
TENETS 03

Redemption & Value

  • Award seat availability and booking friction
  • Perceived miles-to-value conversion rate
TENETS 04

Tier & Status

  • Tier qualification thresholds vs. travel reality
  • Status benefit usage and perceived gap
TENETS 05

Programme Friction

  • Miles expiry rules and member awareness
  • Drop-off points in redemption flow
TENETS 06

Engagement & Stickiness

  • App and portal login frequency
  • Communication relevance and opt-out rate
TENETS 07

Coalition & Partners

  • Alliance and interline earn satisfaction
  • Non-airline partner relevance by category
TENETS 08

Competitive Switching

  • Parallel programme membership count
  • Primary programme share of wallet

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Airline Loyalty Program Engagement Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across frequent flyer tiers and redemption segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking redemption drivers by frequent flyer tier
2
Measuring points accrual satisfaction and burn intent
3
Comparing engagement by route type and cabin class
Deliverables
Driver ranking
Tier engagement matrix
Redemption intent bands
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Older frequent flyers with low digital panel presence
2
Quick pulse across regional and secondary airports
Deliverables
Tier coverage report
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Elite and top-tier members requiring in-lounge verification
2
Corporate travel managers with complex multi-airline loyalty stacks
Deliverables
Elite cohort profiles
Rich journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, targeting frequent flyer panel members across Silver, Gold, and Platinum tiers, supported by CATI for older or regionally distributed loyalty members with low digital panel presence.
Consider adding: Face-to-face interviews for elite tier and corporate travel manager cohorts, plus a focused FGD layer to pressure-test redemption proposition design and partner benefit communication before any program refresh.

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the airline loyalty and travel rewards space.

CASELET 1

Frequent flyer tier perception & redemption friction (India)

CASELET 2

Low-cost carrier loyalty messaging & channel resonance (Southeast Asia)

Frequent flyer tier perception & redemption friction (India)

OBJECTIVE

A full-service carrier needed to isolate why mid-tier frequent flyers stalled before redeeming miles, and how co-branded credit card holders differed from direct program enrollees in their willingness to upgrade or extend membership.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 metro catchments, capturing redemption trigger points, perceived mile value, tier upgrade intent, preferred reward categories, and stated barriers at each stage of the redemption journey.

DELIVERED

A segment-level friction map by enrollee type, a ranked list of redemption barriers by tier , a perceived value corridor for miles across reward categories, and a set of retention levers prioritised by segment urgency.
CASELET 1

Frequent flyer tier perception & redemption friction (India)

CASELET 2

Low-cost carrier loyalty messaging & channel resonance (Southeast Asia)

Frequent flyer tier perception & redemption friction (India)

OBJECTIVE

A full-service carrier needed to isolate why mid-tier frequent flyers stalled before redeeming miles, and how co-branded credit card holders differed from direct program enrollees in their willingness to upgrade or extend membership.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 metro catchments, capturing redemption trigger points, perceived mile value, tier upgrade intent, preferred reward categories, and stated barriers at each stage of the redemption journey.

DELIVERED

A segment-level friction map by enrollee type, a ranked list of redemption barriers by tier , a perceived value corridor for miles across reward categories, and a set of retention levers prioritised by segment urgency.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between frequent flyers, occasional travelers and lapsed members?

How will you measure loyalty program preference beyond simple ratings?

Will the survey map the full loyalty membership journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our loyalty program revenue and member retention targets?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call